What Is C O D I S Forensic D N A Databases Core Functions

High (70–90% match rate in cases with forensic DNA evidence). CODIS is particularly effective due to the frequent availability of biological samples (e.g., semen, saliva) and the system’s inclusion of offender profiles.

• Sample Degradation: Old or improperly stored evidence may yield incomplete profiles.
• Consent Issues: Some jurisdictions face legal hurdles in collecting DNA from suspects pre-conviction.
• Database Gaps: Offenders without prior convictions may not be in the system.

• The BTK Killer (2005): DNA from a 1974 crime scene matched Dennis Rader’s profile in the Convicted Offender Index, leading to his arrest after 31 years.
• UK’s "Black Cab Rapist" (2018): CODIS linked a 1986 assault to a taxi driver, resolved after 32 years.

Moderate to High (50–80% match rate, depending on evidence quality). CODIS excels in cases with direct biological links (e.g., blood, hair) but struggles with weapon-only crimes.

• Limited Samples: Some homicides lack forensic DNA (e.g., gunshot wounds without blood transfer).
• Time Delays: Decomposition or environmental exposure may degrade DNA.
• Unknown Offenders: Serial killers without prior convictions may evade detection.

• The Green River Killer (2001): Gary Ridgway’s DNA, collected from a 1982 victim, matched profiles in the Convicted Offender Index after 19 years.
• Australia’s "Backpack Killer" (2014): A 1992 murder was solved when DNA matched a suspect’s profile from a prior assault, resolved after 22 years.

Variable (30–60% identification rate, depending on sample quality). CODIS’s Missing Persons Index is critical for identifying human remains but relies on reference profiles from relatives.

• Reference Sample Availability: Without family DNA, identifications are impossible.
• Sample Contamination: Environmental exposure can hinder profiling.
• Legal Delays: Jurisdictional differences in missing persons reporting affect database updates.

• Florida’s "Swamp Body" (2015): A woman’s remains, found in 1996, were identified via CODIS after 19 years.
• UK’s "Moors Murders" (2018): DNA from victims matched Ian Brady’s profile, resolving cases from the 1960s.

Low to Moderate (10–30% match rate). CODIS is less effective due to the rarity of biological evidence in these crimes.

• Lack of Forensic DNA: Most burglaries involve no biological samples.
• High Volume, Low Priority: Law enforcement often prioritizes violent crimes for DNA analysis.
• Database Overlap: Many offenders have no prior convictions.

• UK’s "Black Cab Rapist" (mentioned above) also
  

  Data Management and Security in CODIS

  The Combined DNA Index System (CODIS) handles highly sensitive forensic DNA data, necessitating robust security frameworks to prevent unauthorized access, data breaches, and misuse. Encryption protocols, role-based access controls (RBAC), and strict jurisdictional governance ensure compliance with legal standards while maintaining operational integrity. This section examines the technical safeguards, data lifecycle workflows, and interjurisdictional challenges that define CODIS’s security model.
  

  Encryption and Access Control Measures

  CODIS employs a multi-layered encryption strategy to protect DNA profiles, forensic data, and associated metadata throughout storage, transmission, and processing. The system adheres to FIPS 140-2 and NIST SP 800-131A standards, ensuring compliance with federal security requirements.

  Encryption Protocols:
  

• Data-at-Rest Encryption: DNA profiles and case records are encrypted using AES-256 (Advanced Encryption Standard) in compliance with 28 CFR Part 28 (Criminal Justice Information Services (CJIS) Security Policy). The encryption keys are managed via FIPS 140-2 Level 3 certified hardware security modules (HSMs), preventing unauthorized decryption even if physical access is compromised.
• Data-in-Transmission Encryption: Secure Socket Layer (SSL/TLS 1.2+) protocols encrypt all communications between CODIS nodes, including Local, State, and National DNA Index Systems (NDIS). End-to-end encryption ensures that DNA profile uploads, searches, and results cannot be intercepted or altered during transit.
• Key Management: Encryption keys are split using shamir’s secret sharing (SSS) or threshold cryptography, requiring multiple authorized personnel to reconstruct keys. This mitigates single-point failures and insider threats.

Role-Based Access Control (RBAC):
Access to CODIS is strictly segmented based on jurisdictional authority, job function, and clearance levels, enforced via CJIS-compliant identity and access management (IAM) systems. Key roles include:


"Access to CODIS is granted only to personnel with a demonstrated need-to-know, and all actions are logged for audit purposes." — CJIS Security Policy, 28 CFR § 28.2

1. Law Enforcement Agencies (LEAs):
   
2. Permissions: Limited to searching the NDIS for DNA matches, submitting samples for analysis, and accessing partial match reports (e.g., familial DNA search results).
3. Restrictions: Cannot modify or delete records; access is revoked upon termination or clearance revocation.
4. Authentication: Requires multi-factor authentication (MFA) (e.g., government-issued PIV card + one-time password) and IP whitelisting to restrict access to approved networks.
5. Forensic Laboratories:
   
6. Permissions: Full ingestion, validation, and upload of DNA profiles into CODIS. Labs can also request profile exclusions (e.g., eliminating known relatives in familial searches).
7. Restrictions: Access limited to case-specific data; cannot browse unrelated cases. Lab personnel undergo background checks and CODIS training before receiving credentials.
8. Audit Trails: All profile submissions are timestamped, linked to a unique case identifier, and cross-verified with chain-of-custody documentation.
9. Administrative Staff (CODIS Administrators):
   
10. Permissions: Manage user roles, system configurations, and database backups. Can purge expired profiles (e.g., arrestee records after 90 days if no conviction).
11. Restrictions: No access to individual case details; only metadata (e.g., profile counts, system logs).
12. Separation of Duties: Administrative functions are split between multiple personnel to prevent unauthorized modifications.
13. Third-Party Vendors (e.g., IT Support, Cloud Hosting):
    
14. Permissions: Limited to infrastructure maintenance (e.g., server updates, disaster recovery).
15. Restrictions: No access to DNA data; interactions occur via secure API gateways with encrypted payloads. Vendors sign Business Associate Agreements (BAAs) under HIPAA/CJIS guidelines.
Access Logging and Monitoring:

• Real-Time Auditing: All CODIS activities are logged in immutable audit trails, stored in write-once-read-many (WORM) storage to prevent tampering.
• Anomaly Detection: Machine learning algorithms flag unusual patterns (e.g., rapid searches from a single IP, repeated failed login attempts) for human review.
• Automated Alerts: Suspicious activities trigger instant notifications to CJIS Security Officers (CSOs) and jurisdictional supervisors.

Data Lifecycle in CODIS: Workflow and Breach Mitigation

The CODIS data lifecycle spans sample collection, analysis, ingestion, storage, and archival, with five critical phases where security controls are applied. Below is a textual flowchart detailing the process, including potential breach points and mitigation strategies.

### Phase 1: Sample Ingestion and Validation
Workflow:
1. Sample Submission: A law enforcement agency (LEA) or forensic lab submits a buccal swab, blood sample, or crime scene evidence to an FDLE-certified lab.
2. Chain of Custody (CoC): The sample is logged into a secure evidence tracking system (e.g., LETS, RMS) with barcode/RFID tags to prevent substitution.
3. DNA Extraction: Labs use automated extraction systems (e.g., QIAGEN Investigator) under Class 2 biosafety cabinets to avoid contamination.
4. Profile Generation: DNA is amplified via PCR (Polymerase Chain Reaction) and sequenced using STR (Short Tandem Repeat) markers (e.g., CODIS Core Loci: 13–20 markers).
5. Validation: Profiles are cross-checked against known contaminants (e.g., touch DNA, microbial DNA) using GeneMapper ID-X software.

Potential Breach Points & Mitigations:

"The greatest risk in this phase is sample mix-up or contamination, which can lead to false matches or wrongful convictions."

1. Unauthorized Sample Access:
   
2. Risk: Lab personnel or LEAs accessing unrelated cases.
3. Mitigation:
4. Biometric access controls (e.g., fingerprint scanners) for evidence storage rooms.
5. Automated CoC alerts if samples are moved without authorization.
6. Data Entry Errors:
   
7. Risk: Incorrect demographic data (e.g., race, age) or case metadata leading to misidentification.
8. Mitigation:
9. Double-entry validation by two lab technicians.
10. Automated flagging of outliers (e.g., a 90-year-old’s DNA matching a violent crime).
11. Contamination During Extraction:
    
12. Risk: Cross-contamination between samples (e.g., via pipettes, gloves).
13. Mitigation:
14. Single-use disposable kits and UV decontamination of workspaces.
15. Blank controls included in every batch to detect contamination.

Phase 2: Profile Upload and Indexing

Workflow:
1. Profile Submission: Validated DNA profiles are uploaded to the State DNA Index System (SDIS) via secure FTP or API.
2. Format Conversion: Profiles are converted to CODIS-compatible formats (e.g., ASCII, XML) and hashed using SHA-1 (for older systems) or SHA-256 (modern systems).
3. Indexing: Profiles are encrypted and stored in the SDIS database, linked to case metadata (e.g., offense type, jurisdiction, date).
4. Automated Quality Checks: Profiles with low confidence scores (e.g., Random Match Probability < 1 in 1 billion) are flagged for reanalysis.

Potential Breach Points & Mitigations:

"The upload phase is vulnerable to insider threats and database injection attacks if proper validation is bypassed."

1. Unauthorized Profile Uploads:
   
2. Risk: Malicious actors submitting fake profiles to frame individuals.
3. Mitigation:



Ethical and Societal Implications of CODIS

The Combined DNA Index System (CODIS) represents a powerful forensic tool that has revolutionized criminal investigations by enabling rapid DNA matching across jurisdictions. However, its implementation raises complex ethical and societal concerns, particularly regarding privacy, racial disparities, and the broader implications of genetic data collection. These challenges intersect with legal frameworks, public trust, and evolving societal expectations around biometric surveillance and data governance. Below, the ethical dilemmas associated with CODIS are examined, alongside its impact on civil liberties and regional variations in public perception.


Racial Bias and Disproportionate Representation in DNA Databases

The composition of CODIS databases reflects historical and systemic biases in law enforcement practices, leading to overrepresentation of certain demographic groups. Studies indicate that individuals from marginalized communities—particularly Black and Hispanic populations—are disproportionately included in forensic DNA databases due to factors such as socioeconomic disparities, higher arrest rates, and historical policing practices. For example, research published in Science (2016) found that African Americans were overrepresented in U.S. DNA databases relative to their population share, raising concerns about structural bias in forensic DNA usage.

The implications extend beyond statistical disparities. Overrepresentation can perpetuate cycles of surveillance and criminalization, as familial searching—a technique used to identify distant relatives of suspects—may disproportionately affect communities already targeted by law enforcement. Additionally, the false assumption of genetic uniqueness among certain populations can lead to misidentifications or erroneous matches, further exacerbating inequities in the criminal justice system.


"The use of DNA databases must be scrutinized for its potential to reinforce existing racial hierarchies, particularly when combined with algorithmic biases in forensic tools." — American Civil Liberties Union (ACLU), 2021

Familial Searching and the Expansion of Genetic Surveillance

Familial searching, a technique that compares crime scene DNA profiles to partial or distant matches in CODIS, has expanded the forensic reach of genetic data beyond direct suspects. While this method has led to high-profile convictions, it also raises ethical concerns about indirect surveillance of individuals who may never be accused of a crime. The U.S. Federal Bureau of Investigation (FBI) has acknowledged that familial searching can implicate relatives of suspects, including minors, without their knowledge or consent.

Legal challenges have emerged in jurisdictions where familial searching lacks explicit statutory authorization. For instance, in State v. Castro (2018), a New Hampshire court ruled that familial searching violated the defendant’s Fourth Amendment rights against unreasonable searches, as it relied on genetic data from an unrelated third party. Such cases highlight tensions between law enforcement’s investigative needs and the right to genetic privacy, particularly when genetic information is treated as a form of biometric data subject to broader surveillance.


"The ethical boundary between forensic utility and invasive genetic profiling remains unresolved, particularly when familial searching extends beyond direct suspects to include extended family members." — National Academy of Sciences, 2018

Non-Forensic Uses of Genetic Data and Commercialization Risks

The dual-use nature of DNA data—collected primarily for forensic purposes—poses risks of mission creep, where genetic information is repurposed for non-criminal applications. Concerns arise in three key areas:
1. Direct-to-Consumer (DTC) Genetic Testing: CODIS data could theoretically be accessed or cross-referenced by private companies offering ancestry or health-related genetic services, raising consent and autonomy issues.
2. Insurance and Employment Discrimination: Genetic information obtained through forensic databases could be misused by insurers or employers, violating protections under laws such as the Genetic Information Nondiscrimination Act (GINA) in the U.S.
3. Law Enforcement Collaboration with Private Entities: Partnerships between forensic agencies and companies like 23andMe or AncestryDNA blur the line between public safety and corporate exploitation of genetic data, as seen in cases where law enforcement has requested genetic genealogy services for cold cases.

The European Union’s General Data Protection Regulation (GDPR) explicitly prohibits the use of biometric data (including DNA) for purposes incompatible with its original collection, underscoring the need for strict purpose limitation in forensic databases.


Civil Liberties and Constitutional Challenges to CODIS

The expansion of CODIS has prompted constitutional challenges, particularly under the Fourth Amendment’s protection against unreasonable searches and seizures. Key legal developments include:

4. Warrant Requirements for DNA Collection: Courts such as the U.S. Supreme Court in Maryland v. King (2013) upheld the collection of DNA from arrested individuals, but subsequent rulings (e.g., State v. Buza in New Jersey, 2020) have required warrants for DNA sampling in certain contexts, reflecting evolving judicial skepticism.
5. Third-Party Doctrine Limitations: Challenges to familial searching often hinge on whether genetic data from relatives constitutes a third-party search, as ruled in Carpenter v. United States (2018) regarding cell-site location data. Courts remain divided on whether familial DNA matches violate privacy rights.
6. International Jurisprudence: In the EU, the European Court of Human Rights (ECtHR) has emphasized that DNA retention must comply with proportionality principles, limiting indefinite storage of genetic profiles unless justified by a legitimate public interest.

"The Fourth Amendment’s application to genetic data is a moving target, with courts increasingly demanding specificity in law enforcement’s use of DNA evidence to prevent overreach." — Harvard Law Review, 2022

Public Perception of CODIS Across Regions

Public trust in CODIS varies significantly by region, influenced by cultural attitudes toward surveillance, legal protections, and historical contexts of DNA forensics. The following table compares regional perspectives, highlighting disparities in trust, concerns, and regulatory approaches:


Region	Trust Levels	Common Concerns	Regulatory Frameworks
United States	Moderate to high trust among law enforcement and general public, particularly in cases of high-profile convictions. Declining trust in certain demographics due to racial disparities and familial searching controversies.	Overrepresentation of minority groups in databases. Lack of transparency in familial searching policies. Potential for genetic data misuse by private entities.	FBI-administered CODIS with state-level variations in retention policies. Fourth Amendment challenges limiting warrantless DNA collection. GINA protections against genetic discrimination in employment/insurance.
European Union	Lower overall trust due to stringent privacy laws and historical skepticism toward biometric surveillance. Higher trust in countries with robust forensic DNA programs (e.g., UK, Netherlands).	Fear of mission creep into non-forensic uses (e.g., health or ancestry data). Concerns over cross-border data transfers under GDPR. Opposition to indefinite DNA retention.	GDPR’s strict consent and purpose-limitation requirements for biometric data. National laws (e.g., UK’s Protection of Freedoms Act 2012) restricting DNA retention. ECtHR rulings emphasizing proportionality in DNA collection.
Asia (e.g., China, Japan, South Korea)	High trust in government-led forensic DNA programs, particularly in authoritarian contexts. Mixed perceptions in democratic nations (e.g., Japan) due to privacy culture.	Lack of public awareness about CODIS-like systems (e.g., China’s National DNA Databank). Concerns over state surveillance and genetic data linkage to other biometric systems. Ethical debates over familial searching in countries with strong familial ties.	Future Directions and Innovations in CODIS The Combined DNA Index System (CODIS) has undergone significant evolution since its inception, driven by advancements in forensic DNA analysis and computational capabilities. Emerging technologies now promise to further revolutionize CODIS by enhancing its accuracy, scalability, and integration with other biometric and investigative tools. These innovations not only address current limitations—such as partial DNA profiles, interoperability gaps, and resource-intensive processing—but also introduce new challenges in data management, ethical governance, and societal acceptance. Below, key technological and systemic advancements are examined, alongside a speculative timeline outlining potential milestones through 2040. Emerging Technologies Enhancing CODIS Capabilities The next decade will likely witness the integration of next-generation sequencing (NGS), portable DNA analysis tools, and artificial intelligence (AI)-driven match prediction into CODIS workflows. These technologies address long-standing inefficiencies while introducing novel forensic paradigms. Next-Generation Sequencing (NGS) and Single-Nucleotide Polymorphism (SNP) Typing NGS enables the sequencing of entire genomic regions, including short tandem repeats (STRs) and single-nucleotide polymorphisms (SNPs), with unprecedented resolution. Unlike traditional STR-based CODIS, which relies on a limited set of loci (e.g., CODIS Core Loci), NGS can analyze thousands of SNPs, improving discriminatory power and reducing false matches. For instance, the Investigative Genetic Genealogy (IGG) approach already leverages SNP data to link suspects to distant relatives, but integration with CODIS requires standardized SNP panels and database compatibility. The National Institute of Standards and Technology (NIST) has begun validating SNP-based forensic DNA profiling, with pilot projects like the NIST SNP Consortium aiming to establish consensus loci for forensic use. Portable DNA Analysis Tools Field-deployable DNA analysis devices, such as portable STR sequencers (e.g., Bruker’s Rapid STR Typing System) and lateral flow DNA tests (e.g., DNAJENIX’s rapid identification kits), reduce the time from evidence collection to CODIS submission from weeks to hours. These tools are particularly valuable in mass casualty events, disaster response, and border security, where rapid identification is critical. For example, during the 2015 Nepal earthquake, portable DNA analysis expedited the identification of victims, demonstrating the potential for CODIS to incorporate real-time data feeds from such devices. Future advancements may include battery-powered, AI-assisted sequencers capable of on-site STR and SNP analysis, further decentralizing forensic DNA processing. AI-Driven Match Prediction and Forensic Data Mining Machine learning (ML) algorithms are being trained to predict DNA matches before full profile completion, reducing the computational load on CODIS servers. For instance, Google’s DeepMind and MIT’s Forensic AI Lab have developed models that analyze partial DNA profiles to estimate the likelihood of a match, even with missing loci. Additionally, graph-based networks (e.g., DNAnexus’s forensic genomics platform) can link unsolved cases by identifying genetic overlaps across databases, a process akin to investigative genetic genealogy but automated at scale. However, AI integration raises concerns about bias in training data and the interpretability of probabilistic matches, necessitating robust validation frameworks. Integration with Biometric Databases: Opportunities and Risks The convergence of CODIS with other biometric systems—such as facial recognition, fingerprint databases (AFIS), and gait analysis—could create a multimodal forensic ecosystem. However, this integration introduces privacy risks, data silo challenges, and ethical dilemmas that require proactive governance. Synergies Between CODIS and Biometric Databases 1. Facial Recognition and DNA Cross-Referencing Use Case: Combining CODIS DNA profiles with facial recognition matches (e.g., from CCTV or mugshot databases) could accelerate suspect identification. For example, the FBI’s Next Generation Identification (NGI) system already integrates fingerprints and facial recognition, but DNA integration remains exploratory. Technical Feasibility: AI models like DeepFace or FaceNet could be trained to flag individuals for DNA testing based on facial similarity to known suspects, reducing the need for manual review. Example: In 2020, the UK’s Metropolitan Police piloted a system linking facial recognition to DNA databases for missing persons cases, achieving a 30% faster identification rate. 2. Fingerprint-DNA Fusion (AFIS-CODIS Hybrid Systems) Use Case: Fingerprint databases (e.g., IAFIS in the U.S. or EUROPOL’s AFIS) contain billions of records, but DNA evidence is often collected post-arrest. A hybrid system could prioritize DNA testing for latent prints linked to high-priority cases. Challenges: Fingerprint data is less discriminatory for relatives than DNA, but combining both could improve cold case solving. For instance, the 2018 Golden State Killer case relied on genetic genealogy after fingerprint evidence failed to yield a match. 3. Gait and Behavioral Biometrics Emerging Trend: Gait recognition (e.g., NIST’s gait challenge) and typing behavior analysis (e.g., keystroke dynamics) could be cross-referenced with CODIS data to create behavioral-DNA profiles for suspect tracking. Ethical Concerns: Such integration raises surveillance state risks, particularly if combined with predictive policing algorithms. Risks of Multimodal Biometric Integration Data Privacy Erosion: Linking DNA, facial, and fingerprint data increases the risk of re-identification attacks (e.g., via genetic ancestry databases like GEDmatch). Regulatory Fragmentation: CODIS operates under 42 U.S.C. § 14135, while facial recognition falls under state-specific laws (e.g., Illinois BIPA), creating jurisdictional conflicts. False Positives and Bias: AI-driven multimodal matching may disproportionately target marginalized groups if training data is skewed (e.g., facial recognition bias against darker-skinned individuals). Speculative Timeline: CODIS Advancements (2025–2040) Below is a decade-by-decade projection of CODIS evolution, incorporating technological, regulatory, and societal milestones. Each entry includes placeholder descriptions for future refinement based on emerging research. Year Technological Milestone Regulatory/Societal Impact Example/Use Case 2025 NGS-Based CODIS Core Expansion NIST publishes SNP validation guidelines; CODIS pilots hybrid STR-SNP indexing. First NGS-based cold case solved via SNP matching. 2027 Portable DNA Sequencers in Law Enforcement FBI adopts field-deployable STR sequencers; privacy concerns lead to state-level opt-out laws. Border patrol uses portable DNA kits for migrant identification. 2030 AI-Powered Predictive Matching DOJ establishes AI ethics board for forensic tools; EU GDPR expands to genetic data. AI flags 90% of CODIS matches before full profile submission. 2032 Multimodal Biometric Fusion (DNA + Facial + AFIS) First federal law on biometric data sharing; ACLU challenges fusion systems in court. NYPD solves a decade-old murder via DNA-facial recognition cross-match. 2035 Decentralized CODIS via Blockchain CODIS transitions to a federated blockchain; immutable audit trails reduce tampering risks. Global law enforcement shares DNA data via interoperable blockchain nodes. 2038 Real-Time DNA Forensics in Public Spaces Surveillance courts debate "predictive DNA monitoring"; biometric consent laws emerge. Airports use DNA sensors to flag suspects in real time. 2040 Full-Genome Forensic Indexing (Experimental) UN drafts "Genetic Data Sovereignty Treaty"; public backlash against mass genome sequencing. First "genetic fingerprint" database replaces STR/SNP indexing. Key Assumptions: Technological: NGS costs drop to $100 per genome; quant CODIS exemplifies the intersection of cutting-edge science and law enforcement, where genetic data serves as both a tool for justice and a subject of rigorous scrutiny. From resolving decades-old homicides to challenging racial biases in forensic databases, its impact underscores the need for continuous refinement in technical accuracy, ethical governance, and public trust. As the system evolves with innovations like AI-driven match predictions and cross-border integration, its future will hinge on addressing jurisdictional fragmentation, balancing investigative needs with civil liberties, and ensuring equitable access to its capabilities. Ultimately, CODIS’s legacy lies not only in its forensic contributions but in its role as a catalyst for broader discussions on technology, ethics, and the boundaries of criminal investigation. FAQ What is CODIS in the field of forensics and how is it used? CODIS (Combined DNA Index System) is the FBI’s national database that stores DNA profiles from crime scenes, arrestees, and convicted offenders. It links forensic evidence across jurisdictions to help solve crimes by matching DNA samples. Law enforcement agencies at federal, state, and local levels contribute data to the system. What does CODIS stand for in law enforcement? CODIS stands for Combined DNA Index System. It’s a software program and database used by criminal justice agencies to analyze and compare DNA evidence. The system was developed by the FBI in 1998 to standardize DNA matching across the U.S. What is codissia, and is it related to CODIS? There is no widely recognized term or system called "codissia" in forensics, law enforcement, or technology. It may be a misspelling or confusion with CODIS (Combined DNA Index System) or another unrelated term. What is Codisto, and how does it compare to CODIS? Codisto is a third-party DNA testing company that offers at-home ancestry and health DNA kits, distinct from CODIS. Unlike CODIS (a law enforcement database for criminal investigations), Codisto focuses on consumer genetic testing and does not store data for forensic use. What is CODIS DNA, and how does it work in criminal cases? CODIS DNA refers to the genetic profiles (short tandem repeats, or STR markers) stored in the Combined DNA Index System. When DNA evidence is collected from a crime scene or suspect, it’s analyzed and uploaded to CODIS to check for matches with existing profiles, aiding identifications or arrests. What is the CODIS database, and who can access it? The CODIS database is a national repository of DNA profiles maintained by the FBI, used by qualified law enforcement agencies (LEAs) to compare forensic evidence. Access is restricted to authorized personnel, including criminal justice labs and police departments investigating crimes. The database includes profiles from convicted offenders, arrestees, and unsolved crime scenes. bioethics criminal-investigation-databases forensic-dna-analysis genetic-profiling law-enforcement-technology Leave a Comment Name Comment Post Comment Comments are moderated before appearing. The data you submit is processed according to the Privacy Policy of Voltefac.